CN108398686A - Cyclone detection system and method - Google Patents
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- CN108398686A CN108398686A CN201810110418.6A CN201810110418A CN108398686A CN 108398686 A CN108398686 A CN 108398686A CN 201810110418 A CN201810110418 A CN 201810110418A CN 108398686 A CN108398686 A CN 108398686A
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Abstract
Describe a kind of example of cyclone detection system and method.In one embodiment, method receives data from the sensor for being installed to vehicle, and the data received are analyzed using deep neural network.Whether this method in received data recognizes cyclone according to the analysis of received data to determine.If recognizing cyclone in the data received, this method determines the track of cyclone.
Description
Technical field
This disclosure relates to Vehicular system, and relate more specifically to the system and method for detecting the cyclone near vehicle.
Background technology
Motor vehicles and other vehicles provide the transport of a large portion for business, government and private parties.As certainly
The vehicle traveling of main vehicle may experience make vehicle and its passenger's structural destruction and other problems on the line
On road.In some cases, vehicle may have wind under there are the driving situation of cyclone and other severe weather conditions
Danger.For example, cyclone constitutes material risk to the vehicle for being too near to cyclone.Cyclone near detecting early has by vehicle
Time takes action to avoid cyclone or hides cyclone.
Invention content
According to the present invention, a kind of method is provided, this method includes：
Data are received from the sensor for being installed to vehicle；
The data received are analyzed using deep neural network；
It is determined in the data received according to the analysis of the data to receiving by the cyclone detection system in vehicle
Whether cyclone is recognized；With
Cyclone is recognized in the data received in response to determining, to determine the track of cyclone.
According to one embodiment of present invention, wherein the sensor for being installed to vehicle includes laser radar sensor, radar
At least one of sensor and video camera.
According to one embodiment of present invention, this method includes also by the cyclone detection system in vehicle according to cyclone
Track determine that vehicle avoids the path of cyclone.
According to one embodiment of present invention, wherein determining that the path that vehicle avoids cyclone is：It is generally orthogonal to dragon
Roll up the track of wind.
According to one embodiment of present invention, wherein determining that the path that vehicle avoids cyclone is：Generally away from spout
The track of wind.
According to one embodiment of present invention, this method also includes to generate the driving order that vehicle is driven along path.
According to one embodiment of present invention, this method includes also by the cyclone detection system in vehicle according to cyclone
Track, the speed of cyclone, the geographical location of cyclone and map datum determine that vehicle avoids the path of cyclone.
According to one embodiment of present invention, wherein vehicle is autonomous vehicle.
According to one embodiment of present invention, this method also includes and reports the track of the approximate location of cyclone and cyclone
It accuses and gives other neighbouring vehicles.
According to one embodiment of present invention, this method also includes and reports the track of the approximate location of cyclone and cyclone
It accuses to the system based on infrastructure.
According to one embodiment of present invention, this method also includes to generate the sense of hearing or vision police existing for instruction cyclone
It accuses.
According to one embodiment of present invention, this method also includes and generates to manipulate vehicle to avoid the sense of hearing of cyclone or regard
Feel steering instructions.
According to the present invention, a kind of method is provided, this method includes：
Data are received from the multiple sensors for being installed to vehicle；
The data received are analyzed using deep neural network；
It is determined in the data received according to the analysis of the data to receiving by the cyclone detection system in vehicle
Whether cyclone is recognized；With
Cyclone is recognized in the data received in response to determining, and executes following operation：
Determine the track of cyclone；
Determine the speed of cyclone；With
Determine the geographical location of cyclone.
According to one embodiment of present invention, wherein the multiple sensors for being installed to vehicle include laser radar sensor,
At least one of radar sensor and video camera.
According to one embodiment of present invention, wherein determining the track of cyclone according to the analysis of the data to receiving
With the speed of cyclone.
According to one embodiment of present invention, this method includes also by the cyclone detection system in vehicle according to cyclone
Track, the speed of cyclone and the geographical location of cyclone determine that vehicle avoids the path of cyclone.
According to one embodiment of present invention, this method also includes to generate the driving order that vehicle is driven along path.
According to one embodiment of present invention, this method also includes to report the track of cyclone, dragon to other neighbouring vehicles
Roll up the geographical location of the speed and cyclone of wind.
According to the present invention, a kind of equipment is provided, which includes：
Sensor, sensor are installed to vehicle and are configured to capture sensing data；With
Cyclone detection system, cyclone detection system are connected to sensor and are configured to receive and using depth nerve
Network carrys out analyte sensors data, and cyclone detection system is additionally configured to determine sensor according to the analysis to sensing data
Whether recognize cyclone in data, wherein cyclone detection system is additionally configured in response to recognizing cyclone, and execute with
Lower operation：
The track of cyclone is determined according to the analysis of sensing data；With
The speed of cyclone is determined according to the analysis of sensing data.
According to one embodiment of present invention, wherein sensor includes laser radar sensor, radar sensor and camera shooting
One in machine.
Description of the drawings
It is described with reference to the following drawings the embodiment of the non-limiting and non-exclusive of the disclosure, wherein unless otherwise saying
Bright, otherwise identical reference numeral indicates identical part in various figures.
Fig. 1 be show include the embodiment of the vehicle control system of cyclone detection system block diagram；
Fig. 2 is the block diagram for the embodiment for showing cyclone detection system；
Fig. 3 shows the embodiment for the road that multiple vehicles travel in same direction；
Fig. 4 shows the embodiment of the method for detecting the cyclone near vehicle；
Fig. 5 shows another embodiment of the method in the path for determining the vehicle for avoiding cyclone.
Specific implementation mode
In following discloses, with reference to the part thereof of attached drawing of formation, and wherein being shown by way of diagram can
To implement the specific implementation mode of the disclosure.It should be understood that can utilize without departing from the scope of the disclosure
Other embodiment and structure change can be carried out.To " one embodiment ", " embodiment ", " example embodiment " in specification
Deng reference instruction described embodiment may include specific feature, structure or characteristic, but each embodiment can not
Include centainly specific feature, structure or characteristic.Moreover, such phrase is not necessarily meant to refer to identical embodiment.In addition, when knot
When conjunction embodiment describes a particular feature, structure, or characteristic, regardless of whether being expressly recited, change this spy in conjunction with other embodiment
Sign, structure or characteristic are considered as in the knowledge of those skilled in the range.
The embodiment of systems, devices and methods disclosed herein can include or using include computer hardware (such as
One or more processors as discussed herein and system storage) dedicated or general purpose computer.In the scope of the present disclosure
Interior embodiment can also include for carry or store the physical equipment of computer executable instructions and/or data structure and
Other computer-readable mediums.Such computer-readable medium can be by general or specialized computer system accesses
Any usable medium.The computer-readable medium for storing computer executable instructions is computer storage media (device).It carries
The computer-readable medium of computer executable instructions is transmission medium.Therefore, as an example, not a limit, the implementation of the disclosure
Mode can include at least two completely different computer-readable mediums：Computer storage media (device) and transmission medium.
Computer storage media (device) includes RAM (random access memory, Random Access Memory), ROM (read-only
Memory, Read Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, electrically erasable
Programmable read-only memory), CD-ROM (compact disc read-only memory, Compact disc read-only
Memory), solid state drive (" SSD ") (such as based on RAM), flash memory, phase transition storage (" PCM "), other types memory,
Other disk storages, magnetic disk storage or other magnetic memory apparatus can be used for computer executable instructions or data knot
Any other medium that program code means it is expected in the form storage of structure and being accessed by a general purpose or special purpose computer.
Device disclosed herein, the embodiment of system and method can be communicated by computer network." network "
It is defined as that the one or more of electronic data can be transmitted between computer system and/or module and/or other electronic devices
Data link.It will believe when by network or other communication connections (hardwired, wireless or hardwired or wireless connection combination)
When breath transmits or is supplied to computer, which is properly viewed as transmission medium by computer.Transmission medium may include network
And/or data link, network and/or data link can be used to take in the form of computer executable instructions or data structure
With desired program code means and can be accessed by a general purpose or special purpose computer.Combinations of the above should also be included in calculating
In the range of machine readable medium.
Computer executable instructions make all-purpose computer, special purpose computer or special when being executed for example at processor
Processing unit executes the instruction and data of specific function or functional group.Computer executable instructions may, for example, be binary system text
The intermediate format instructions or source code of part, such as assembler language.Although having used structural features and or methods of action special
Language description theme, but it is to be understood that theme defined in the appended claims is not necessarily limited to the spy of foregoing description
Sign or action.On the contrary, described feature and action are disclosed as the exemplary forms for implementing claim.
It would be recognized by those skilled in the art that the disclosure can be in the network of the computer system configurations with many types
Implement in computing environment, including interior computer, personal computer, desktop computer, laptop computer, message handling device,
Hand-held device, multicomputer system, based on microprocessor or programmable consumer electronics device, NetPC Network PC, small-sized
Computer, mainframe computer, mobile phone, PDA (personal digital assistant, Personal Digital Assistant), tablet
Computer, pager, router, interchanger, various storage devices etc..The disclosure can also be implemented in distributed system environment,
Wherein it is attached (by hardwired data links, wireless data link or by hardwired and wireless data chain by network
The combination on road) local and remote computer system be carried out task.In distributed system environment, program module can be located at
In local and remote memory storage device.
In addition, in appropriate circumstances, being executed in the one or more that functions described herein can be in the following：Firmly
Part, software, firmware, digital unit or analog component.For example, one or more application-specific integrated circuits (ASIC) can be programmed for holding
Row one or more systems described herein and process.Certain terms have been used to refer to spy in the whole instruction and claim
Fixed system unit.As the skilled person will recognize, these components can be quoted by different titles.Herein
Shelves be not intended to distinguish title is different and the identical component of function.
It should be noted that the sensor embodiment being discussed herein can include computer hardware, software, firmware or execute it extremely
Any combinations of few part of functions.For example, sensor may be configured to the meter executed in one or more processors
Calculation machine code, and may include the hardware logic/controlled by computer code.Provided herein is these exemplary means to be
For illustrative purposes, it is not intended that be restrictive.Embodiment of the disclosure can be in other kinds of device (such as related neck
Known to the technical staff in domain) in realize.
At least some embodiments of the disclosure are directed toward comprising this logic (example being stored on any computer usable medium
Computer program product such as in the form of software).Such software in one or more data processing equipments when executing
Device is set to operate as described.
Fig. 1 be show include the embodiment of vehicle control system 100 in the vehicle of cyclone detection system 104 frame
Figure.Automatic Pilot/auxiliary system 102 can be used for being automatically brought into operation vehicle or control the operation of vehicle or be carried to human driver
For helping.For example, automatic Pilot/auxiliary system 102 can control the braking system, steering, seat harness of vehicle
Clamping system, acceleration system, lighting system, warning system, driver notification system, radio system, vehicle lock system or vehicle
One or more of any other auxiliary system.In another example, automatic Pilot/auxiliary system 102 may not be able to carry
For any control to driving (such as turn to, accelerate or brake), but notice and alarm can be provided to help driver to pacify
It is complete to drive.Vehicle control system 100 includes cyclone detection system 104, mutual with the various parts in vehicle control system
Effect is to detect and respond the cyclone near vehicle.In one embodiment, the detection of cyclone detection system 104 is located at vehicle
Neighbouring cyclone, and one or more vehicle operatings are adjusted to avoid cyclone or hide cyclone, such as drive separate
Cyclone manipulates vehicle to the natural or artificial protection from the wind that can provide anti-cyclone.For example, underground channel, soil
Ground depression or other natural stratums can provide certain anti-cyclone protection for vehicle.Although cyclone detection system in Fig. 1
System 104 is shown as individual component, but in alternative embodiments, cyclone detection system 104 can be incorporated to automatic Pilot/auxiliary
System 102 or any other vehicle part.
Vehicle control system 100 further includes for detecting presence of nearby objects or determining main vehicle (such as including vehicle
The vehicle of control system 100) position one or more sensors systems/devices.For example, vehicle control system 100 can be with
Including radar system 106, one or more laser radar (LIDAR) systems 108, one or more camera chains 110, the whole world
Positioning system (GPS) 112 and/or ultrasonic system 114.One or more camera chains 110 may include being installed to vehicle
Postposition video camera, front video and the side video camera at (such as rear portion of vehicle).Camera chain 110 can also include catching
Obtain one or more interior video cameras of the passenger in vehicle and the image of other objects.Vehicle control system 100 may include
It is used to navigate and the related or useful data of safety (such as map datum, driving history record or other data) for storing
Data storage 116.Vehicle control system 100 can also include for mobile or wireless network, other vehicles, infrastructure
Or the transceiver 118 that any other communication system carries out wireless communication.
Vehicle control system 100 may include various aspects (such as electro-motor, switch or other causes for controlling vehicle drive
Dynamic device) to control the vehicle control actuator 120 of braking, acceleration, steering, seat harness tensioning, car door lock etc..Vehicle control
System 100 can also include one or more displays 122 that notice can be provided for driver or passenger, loud speaker 124 or
Other devices.Display 122 may include vehicle driver or passenger can see head up display, instrument panel display or
Indicator, display screen or any other visual detector.Loud speaker 124 may include the one or more of the sound system of vehicle
Loud speaker, or may include the loud speaker for being exclusively used in driver or passenger's notice.
It should be understood that Fig. 1 is merely given as examples.Without departing from the scope of the disclosure, other are implemented
Example may include less or additional component.In addition, shown component can combine or be included in other component without limitation.
In one embodiment, automatic Pilot/auxiliary system 102 configures the driving or navigation of main vehicle in order to control.For example,
Automatic Pilot/auxiliary system 102 can control vehicle control actuator 120 in road, parking lot, track or other positions
Path drive.For example, automatic Pilot/auxiliary system 102 can be according to the letter provided by any part in component 106-118
Breath or perception data determine path.It can also be according to the route that trailer reversing is left to the cyclone near vehicle come really
Determine path.Sensing system/device 106-110 and 114 can be used for obtaining real time sensor data so that automatic Pilot/auxiliary
Auxiliary system 102 can be with help on-line driver or driving vehicle.
Fig. 2 is the block diagram for the embodiment for showing cyclone detection system 104.As shown in Fig. 2, cyclone detection system 104
Including communication manager 202, processor 204 and memory 206.Communication manager 202 allow cyclone detection system 104 with such as
The other systems of automatic Pilot/auxiliary system 102 are communicated.It is as described herein to implement that processor 204 executes various instructions
The function of being provided by cyclone detection system 104.Memory 206 stores these instructions and by processor 204 and is included in
Other data that other modules and component in cyclone detection system 104 use.
In addition, cyclone detection system 104 includes image processing module 208, the image processing module 208 is from one or more
A camera chain 110 receives image data, and identifies other vehicles for example moved on road, near vehicle
Cyclone or the airborne particle moved in the wind formed by neighbouring cyclone.Illustrative airborne particle includes may be by wind
Dynamic or mobile dirt particle, plant granule, granulated garbage, wisp and any other object or particle.In some implementations
In example, image processing module 208 includes the cyclone probe algorithm of the track and speed of the cyclone near identification vehicle.Laser
Radar processing module 210 receives laser radar data from one or more laser radar systems 108, and identifies such as cyclone
And airborne particle.In some embodiments, cyclone probe algorithm according to laser radar data come detect cyclone track and
Speed.In addition, radar processing module 212 receives radar data from one or more radar systems 106, to identify that such as vehicle is attached
Close cyclone and airborne particle.In some embodiments, cyclone probe algorithm is detected using radar data positioned at vehicle
The track of neighbouring cyclone and speed.For example, Doppler radar can utilize captured with the relevant wind of cyclone it is airborne
Fragment detects and tracks cyclone.In addition, Doppler radar can detect and track rainfall or hail near cyclone.
Cyclone detection system 104 further includes fusion from multiple sensors, video camera and data as discussed herein
The sensor fusion module 214 of the data in source.For example, sensor fusion module 214 can be merged from one or more video cameras
110, radar system 106 and the data of laser radar system 108 are to detect the cyclone and airborne particle near vehicle.Data are received
Collect module 216 and merges mould from such as image processing module 208, laser radar processing module 210, radar processing module 212, sensor
Collect data in multiple sources of block 214 and other vehicle parts (such as accelerometer, gyroscope etc.).For example, accelerometer and top
Spiral shell instrument information for detection may pitching and weaving caused by the high wind near vehicle be useful.
In addition, data collection module 216 can from additional data source (such as with the road near vehicle current geographic position
Weather data in associated map datum, current geographic position, current weather warning (such as tornado warnings or cyclone
Monitoring) and any other categorical data from any data source) receive (or access) data.Map datum is for identifying example
As upcoming road is orientated, neighbouring protection from the wind (natural and artificial) and can provide cyclone near protection its
His region is useful.Other data may include such as report vehicle current position from other vehicles or infrastructure system
Manage the data of the cyclone near position.In some embodiments, multiple to utilize using sound transducer (such as microphone)
The triangulation of sound transducer forms wave beam to detect and track cyclone according to two or more microphones.Example
Such as, microphone can be arranged along horizontally or vertically line on single unit vehicle, or be arranged in the combination of both direction.Mike
The quantity of spacing and microphone between wind determines accuracy of the system when detecting and positioning one or more cyclones.
Cyclone detection system 104 further includes data analysis module 218, and data analysis module 218 is to from any amount of
The data of sensor and/or data sources execute various operations to detect cyclone as discussed herein.For example, data point
Analysis module 218 can be analyzed from image processing module 208, laser radar processing module 210, radar processing module 212, sensing
The data of one or more types of device Fusion Module 214, data collection module 216 or any other data source.In some realities
It applies in example, cyclone is detected according to wind speed, wind direction (such as circular motion of wind), airborne particle etc..In specific implementation mode
In, data analysis module 218 using the speed and track that can identify cyclone that cyclone and determination are identified spout
Wind probe algorithm.In some embodiments, data analysis module 218 uses deep neural network (DNN) according to various analyses
Data detect and cyclone of classifying.For example, DNN classification can be limited to classify using SVM (support vector machines) or other are any
The Yes/No decision of method.It represents the picture of cyclone and is not that the picture of cyclone is input into DNN learning processes, until
Think that SVM reaches acceptable percentage classification (correct percentage).In some embodiments, it is broken since cyclone has very much
Bad property and relatively fewer and short life, therefore system occurs wrong (such as high correct percentage) in secure context.Equally, existing
Some cyclone recording can be used for providing training material for DNN and detecting cyclone using microphone reading.
In addition, cyclone detection system 104 includes the vehicle-to-vehicle communication manager for allowing multiple vehicles to communicate with one another
220.For example, vehicle can will be transmitted about the information of the cyclone detected (such as the position of cyclone, track and speed)
To the vehicle near other.In some embodiments, vehicle can use V2X (vehicle to infrastructure) communication system will be about
The information of the cyclone detected is transmitted to infrastructure system.
Vehicular navigation system 222 include or access in different kinds of roads navigate vehicle map datum.In some realities
It applies in example, Vehicular navigation system 222 determines that vehicle avoids the path of the cyclone detected.For example, Vehicular navigation system 222 can
The path orthogonal with the track of cyclone (using neighbouring road) is found to use map datum, and makes vehicle far from dragon
Roll up wind.In some embodiments, Vehicular navigation system 222 can find the path (or the part in path) without using road.
For example, specific path may include drive pass through by the vehicle be moved away from field needed for cyclone, parking lot or any other
Region.
Cyclone detection system 104 further includes that the vehicle operating management of the operation of vehicle is managed according to the detection of cyclone
Device 224.In some embodiments, vehicle can be manipulated according to the path determined by Vehicular navigation system 222.In other implementations
In example, vehicle operating manager 224 is generated for manipulating vehicle to find the recommendation of natural or artificial protection from the wind.Vehicle operating
Manager 224 can make vehicle restore normal driving-activity after having pass by with the relevant danger of cyclone.
Fig. 3 shows the embodiment of the road 300 of multiple vehicles with traveling in the same direction.In the example of Fig. 3
In, road 300 has two tracks 302 and 304 that traffic is moved towards the same direction.Two vehicles 306 and 308 are in road
It is travelled on 300.Vehicle 306 travels in track 304, and vehicle 308 travels in track 302.As shown in figure 3, cyclone 310
In the front of vehicle 306 and 308.It as discussed herein, can be according to from one or more sensors or other data sources
Data detect cyclone 310.In some embodiments, the one or more sensors for being installed to vehicle 306 receive and dragon
Roll up 310 associated data of wind (being indicated by dotted line 312).Received data allows cyclone detection system 104 to detect spout
The position of wind 310 and cyclone 310, track and speed.As discussed herein, about the position of cyclone 310, track and
The information of speed, which be used to plan, manipulates path of the motor vehicles far from cyclone.
Fig. 4 shows the embodiment of the method 400 for detecting the cyclone near vehicle.Initially, the spout in vehicle
Wind detection system receives 402 data from one or more onboard sensors.As discussed herein, various types of vehicles can be used
Set sensor (such as laser radar sensor, radar sensor, video camera) collects the data of the environment near about vehicle.
The data that cyclone detection system is received using deep neural network analysis 404, and 406 are determined in the data received
Whether cyclone is detected.
If unidentified to 408 cyclones, method 400 continues to 402 data to monitor the environment shape near vehicle
Condition.In some embodiments, the data from laser radar system include the three-dimensional point cloud of airborne particle in wind.The data are carried
Deep-neural-network is supplied to detect and the cyclone near classifying vehicle.For example, can be according to F- series or rattan field series
(Fujita Scale) classification cyclone, F- series or rattan field series classify to cyclone according to the wind speed of estimation.
In some embodiments, cyclone is divided into five classes (F-0 to F-5), and wherein F-0 cyclones are the mildest and F-5 cyclones are most dangerous.
In some embodiments for the system and method being discussed herein, DNN graders will identify cyclone, and can use laser thunder
Reach, radar, trees bending, vehicle are buffeted, wind noise, airspeedometer, masses source etc. measure wind speed.When identifying cyclone,
If loose impediment is substantially autonomous, all loose impediments can take action and be moved to safer ground
Side.This includes road vehicle and agricultural equipment, crane and other equipment.
In certain embodiments, carry out probe gas using other sensors data (such as camera review or radar data)
Carry particle.If recognizing cyclone 408, cyclone detection system determines track and the speed of 410 cyclones.In some realities
It applies in example, track and the speed of cyclone is determined by tracking the movement of cyclone whithin a period of time.For example, can be not
With data of time (such as the mutually every few seconds or a few minutes) analysis from one or more vehicle sensors, to determine cyclone
The speed moved and rough moving direction.What cyclone detection system and then determining 412 vehicles followed avoids cyclone
Path.In some embodiments, cyclone detection system is generally normal simultaneously using map datum identification and the track of cyclone
And vehicle is made to move away from the path of cyclone.For example, the path considers the road compared with the present speed of cyclone and track
The distance of diameter and direction.Since cyclone would generally often change speed and direction, which must take into account cyclone
Present speed and track great change, to ensure to change speed in cyclone or vehicle is protected with cyclone in the case of direction
Hold safe distance.
Cyclone detection system generates 414 steering instructions that vehicle is driven along path.In addition, cyclone detection system report
The presence of 416 cyclones, the track of cyclone, the speed of cyclone and cyclone are accused relative to other vehicles or the ground of system
Manage position.It can be come using any kind of communication system (such as V2V (vehicle to vehicle) or V2X (vehicle to infrastructure))
Cyclone and relevant information are reported to other vehicles or system.For example, with reference to figure 3, if vehicle 306 detects cyclone
310, then its can send the presence of cyclone and information associated with cyclone to vehicle 308 using V2V communication systems.
In some embodiments, vehicle driver or passenger can report (or confirm) cyclone presence and cyclone relative to vehicle
Approximate location.
Fig. 5 is shown for determining that vehicle hides another embodiment of the method 500 in the path of cyclone.Initially, vehicle
Cyclone detection system in identifies the cyclone near 502 vehicles using the system and method being discussed herein.Cyclone
Detection system identifies track, the speed of cyclone and the general geographic location of cyclone of 504 cyclones.In some embodiments
In, method 500 identifies the approximate location of cyclone according to the known location (such as global positioning system using vehicle) of vehicle.
Cyclone detection system also receives 506 and the relevant map datum of vehicle current geographic position.Map datum can be stored in vehicle
In (such as part of the navigation system as vehicle) or from another data source (such as map datum of outside vehicle
Library) it accesses.
Method 500 proceeds to cyclone detection system according to the track of cyclone, the geography of the speed of cyclone, cyclone
Position and map datum determine that 508 vehicles avoid the path of cyclone.As discussed herein, path can be with the rail of cyclone
Mark is orthogonal and vehicle can be guided far from cyclone.In addition, cyclone detection system refers to according to the coordinates measurement 510 driving
It enables.These steering instructions can be acted to execution is appropriate to drive the automatic Pilot of vehicle 514 along the path by transmission 512
System.In some embodiments, steering instructions are supplied to the driver or passenger of vehicle.For example, steering instructions can be
The visual instructions provided in display device (such as the display device being used together with Vehicular navigation system).Optionally, driving refers to
Order can be the audible instructions that vehicle driver or passenger are supplied to by loud speaker or similar device.
Although there have been described herein the various embodiments of the disclosure, it should be appreciated that, be merely possible to example and
It is not limited to presentation.For those skilled in the relevant art it is readily apparent that in the spirit and model for not departing from the disclosure
In the case of enclosing, it can carry out various changes of form and details wherein.Therefore, the range of the disclosure and range should not
It is limited, but should be limited according only to following following claims and its equivalent by any exemplary embodiment.It is in herein
Existing description is for the purpose of illustration and description.This is not intended to exhausted or is limited to the disclosure disclosed definite
Form.In view of the introduction, many modifications and variations are possible.It is further noted that can be with desired any group
It closes to use any or all in alternate embodiments described herein, to form other mixing embodiments of the disclosure.
Claims (15)
1. a kind of method, including：
Data are received from the sensor for being installed to vehicle；
Using deep neural network analyze described in the data that receive；
Described connect is determined according to the analysis to the data received by the cyclone detection system in the vehicle
Whether cyclone is recognized in the data received；With
Cyclone is recognized in the data received in response to determining, to determine the track of the cyclone.
2. according to the method described in claim 1, the sensor for being wherein installed to the vehicle includes laser radar sensing
At least one of device, radar sensor and video camera.
3. according to the method described in claim 1, also include by the cyclone detection system in the vehicle according to
The track of cyclone determines that the vehicle avoids the path of the cyclone.
4. according to the method described in claim 3, wherein determining that the path that the vehicle avoids the cyclone is：Generally just
Meet at the track of the cyclone, or the track generally away from the cyclone.
5. according to the method described in claim 3, also including to generate the driving order for driving the vehicle along the path.
6. according to the method described in claim 1, also include by the cyclone detection system in the vehicle according to
The track of cyclone, the speed of the cyclone, the geographical location of the cyclone and map datum determine the vehicle
Avoid the path of the cyclone.
7. according to the method described in claim 1, also include will be described in the approximate location of the cyclone and the cyclone
Trace reporting gives other neighbouring vehicles or the system based on infrastructure.
8. according to the method described in claim 1, also include generate to indicate the sense of hearing or visual alert existing for the cyclone, or
It generates and manipulates the vehicle to avoid the sense of hearing or the vision steering instructions of the cyclone.
9. a kind of method, including：
Data are received from the multiple sensors for being installed to vehicle；
Using deep neural network analyze described in the data that receive；
Described connect is determined according to the analysis to the data received by the cyclone detection system in the vehicle
Whether cyclone is recognized in the data received；With
Cyclone is recognized in the data received in response to determining, and executes following operation：
Determine the track of the cyclone；
Determine the speed of the cyclone；With
Determine the geographical location of the cyclone.
10. according to the method described in claim 9, wherein being determined according to the analysis to the data received described
The track of cyclone and the speed of the cyclone.
11. according to the method described in claim 9, also include by the cyclone detection system in the vehicle according to
The geographical location of the track of cyclone, the speed of the cyclone and the cyclone determines the vehicle
Avoid the path of the cyclone.
12. also including according to the method for claim 11, to generate the driving order for driving the vehicle along the path.
13. according to the method described in claim 9, also include to other neighbouring vehicles report the cyclone the track,
The speed of the cyclone and the geographical location of the cyclone.
14. a kind of equipment, including：
Sensor, the sensor are installed to vehicle and are configured to capture sensing data；With
Cyclone detection system, the cyclone detection system are connected to the sensor and are configured to receive the sensor
Data simultaneously analyze the sensing data using deep neural network, and the cyclone detection system is additionally configured to according to institute
The analysis of sensing data is stated to determine in the sensing data whether recognize cyclone, wherein the cyclone is visited
Examining system is additionally configured in response to recognizing cyclone, and executes following operation：
The track of the cyclone is determined according to the analysis of the sensing data；With
The speed of the cyclone is determined according to the analysis of the sensing data.
15. equipment according to claim 14, wherein the sensor include laser radar sensor, radar sensor and
One in video camera.
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| US15/427,612 US20180224859A1 (en) | 2017-02-08 | 2017-02-08 | Tornado Detection Systems And Methods |
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| CN109946765A (en) * | 2019-04-02 | 2019-06-28 | 上海电气风电集团有限公司 | The prediction technique and system in the flow field of wind power plant |
| CN110764529A (en) * | 2019-10-21 | 2020-02-07 | 邓广博 | Flight direction correction platform, method and storage medium based on target positioning big data |
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| US10204507B2 (en) * | 2012-08-24 | 2019-02-12 | La Crosse Technology, Ltd. | User-configurable weather warning apparatus |
| US11100918B2 (en) * | 2018-08-27 | 2021-08-24 | American Family Mutual Insurance Company, S.I. | Event sensing system |
| CN110568441B (en) * | 2019-09-09 | 2023-04-07 | 大连海事大学 | Marine radar rain detection identification method based on convolutional neural network |
| KR20210107282A (en) * | 2020-02-24 | 2021-09-01 | 현대자동차주식회사 | Apparatus and method for judging bad weather |
| CN111427101B (en) * | 2020-04-07 | 2022-04-26 | 南京气象科技创新研究院 | Thunderstorm strong wind grading early warning method, system and storage medium |
| US20220126867A1 (en) * | 2020-10-26 | 2022-04-28 | Tusimple, Inc. | Wind gust detection by an autonomous vehicle |
| US20220179096A1 (en) * | 2020-12-07 | 2022-06-09 | Texas Instruments Incorporated | Wind detection system and vehicle control |
| DE102021211006A1 (en) | 2021-09-30 | 2023-03-30 | Robert Bosch Gesellschaft mit beschränkter Haftung | Camera device, system and method for determining weather data |
| KR102508655B1 (en) * | 2022-03-17 | 2023-03-10 | 한국과학기술정보연구원 | Method and apparatus for predicting weather information and automatically generating safety map |
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| JPH0949884A (en) * | 1995-08-04 | 1997-02-18 | Aasu Uezaa:Kk | Predicting method for local weather using neural network |
| US5615118A (en) * | 1995-12-11 | 1997-03-25 | Frank; Robert K. | Onboard aircraft flight path optimization system |
| JP4118352B2 (en) * | 1996-08-29 | 2008-07-16 | 名古屋電機工業株式会社 | Weather discrimination method and apparatus |
| KR100995877B1 (en) * | 2008-07-23 | 2010-11-22 | 한국기계연구원 | Apparatus of measuring the orientation relationship between neighboring grains using a goniometer in a transmission electron microscope and method for revealing the characteristic of grain boundaries |
| JP5528243B2 (en) * | 2010-07-23 | 2014-06-25 | インターナショナル・ビジネス・マシーンズ・コーポレーション | System and method for controlling multipath |
| US9454474B2 (en) * | 2013-03-05 | 2016-09-27 | Western Digital Technologies, Inc. | Methods, devices and systems for two stage power-on map rebuild with free space accounting in a solid state drive |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946765A (en) * | 2019-04-02 | 2019-06-28 | 上海电气风电集团有限公司 | The prediction technique and system in the flow field of wind power plant |
| CN109946765B (en) * | 2019-04-02 | 2021-05-07 | 上海电气风电集团股份有限公司 | Prediction method and system for flow field of wind power plant |
| CN110764529A (en) * | 2019-10-21 | 2020-02-07 | 邓广博 | Flight direction correction platform, method and storage medium based on target positioning big data |
| CN110764529B (en) * | 2019-10-21 | 2020-07-21 | 安徽诺乐知识产权服务有限公司 | Flight direction correction platform, method and storage medium based on target positioning big data |
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| MX2018001483A (en) | 2018-11-09 |
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| US20180224859A1 (en) | 2018-08-09 |
| GB2559687A (en) | 2018-08-15 |
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Application publication date: 20180814 |